Conference Papers
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Item Hydrologic modelling of flash floods and their effects(Springer Science and Business Media Deutschland GmbH, 2021) Paul, A.R.; Kundapura, S.Flash floods are ranked on top in the number of people that are affected and amount of damages caused. The sudden nature of this disaster gives less time for the victims to prepare, thereby ending up with a disrupted social, economic and political stature. The study aims at analysing the possible peak discharges with the help of a rainfall–runoff model for the flood events that have occurred in the Harangi River basin in the Kodagu district and estimate the economic damage induced. The SCS curve number method is used for simulating the runoff. Fourteen peak events over the months of July and August of two different years are chosen for the validation and calibration of the model. Discharges are simulated using the HEC-HMS extension in WMS software. The effect of variation of rainfall and land-use practices in the runoff volume is studied. It is observed that the changes in land-use practices have more effect on the runoff volume than the rainfall volume. Rapid urbanization and industrialization has increased the intensity of flood damages. The largest flow was recorded when a natural bund of water collected in the upstream was collapsed. © Springer Nature Singapore Pte Ltd 2021.Item A Review: Contribution of HEC-HMS Model(Springer Science and Business Media Deutschland GmbH, 2023) Sahu, M.K.; Shwetha, H.R.; Dwarakish, G.S.The rapid increase of population worldwide, urbanization, and industrialization significantly impact hydrologic processes locally and globally. Thus, development planning and managing various water resources are required to meet multiple water demands. However, acquiring gauge discharge data has always been difficult since measurements cannot be taken at every point along the river. Thus, HEC-HMS (Hydrologic Modeling System) is the hydrological model that can transform rainfall into a runoff by using known parameters, data, and appropriate mathematical equations to simulate flow records at the desired location. HEC-HMS was developed by the USACE and is freely accessible. It can estimate runoff from rainfall. In this paper, we review the studies carried out by researchers on the HEC-HMS model worldwide to ascertain its ability to simulate runoff with accuracy and use for making decisions. It could be seen that many researchers compared different modelling methods to obtain the best model suitable under different hydrological conditions and found HEC-HMS as a good model over others and recommended it for simulation of runoff. The reviews show that the HEC-HMS rainfall-runoff model has many flood modelling and water resource planning and management applications. In most studies, HEC-HMS rainfall-runoff modelling was found to be efficient and dependable in predicting runoff accuracy in various river basins. As a result, the model can simulate runoff in an ungauged basin for water resource planning, development, management, and decision-making. © 2023, The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.Item Streamflow Estimation for Harangi River Basin, Karnataka, India(Springer Science and Business Media Deutschland GmbH, 2025) Sahu, M.K.; Shwetha, H.R.; Dwarakish, G.S.Millions of people worldwide spend their entire day looking for water because it is so scarce. Therefore, conserving water is crucial, and it is believed that accurate estimation collection of runoffs is the first step to provide solutions to save water. This study used the Hydrologic Engineering Centre—Hydrologic Modelling System (HEC-HMS) model to simulate the Harangi River basin's reframed rainfall-runoff process (Area = 1703.0421 Km2) located in Kodagu District, Karnataka, India. The rainfall-runoff data were collected from 1995 to 2020 out of which five rainfall-runoff events were selected randomly for the study, three of these were designated for calibration, and the other two remained selected for validation. The Muskingum routing method was employed alongside the Soil Conservation Service—Curve Number (SCS CN) and the Soil Conservation Service Unit Hydrograph (SCS UH) to analyze and determine runoff characteristics. This included estimating runoff volume, peak runoff rate, and conducting flow routing assessments. The evaluation of the model's performance was conducted based on several criteria, including Nash Sutcliffe Efficiency (NSE), coefficient of determination (R2), and root mean square error (RMSE). The outcomes demonstrated that the model functions effectively during both the validation and calibration phases (NSE = 0.895, R2 = 0.948, RMSE = 346.435 m3/s; NSE = 0.887, R2 = 0.917, RMSE = 131.476 m3/s). Thus, the model can be used to manage different flood events and adopt effective decision and warning systems. Furthermore, other catchments with similar hydrological characteristics can use the created models. © The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2025.